Instructions to use hf-internal-testing/tiny-random-MistralForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MistralForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-MistralForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MistralForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-MistralForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MistralForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 4.15 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MistralForSequenceClassification/resolve/refs%2Fpr%2F17/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MistralForSequenceClassification@refs/pr/17/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MistralForSequenceClassification/resolve/refs%2Fpr%2F17/model.safetensors
4.15 MB
- Xet hash:
- a6ce42adf961a4d17632694dc9b328f286b5199e633d683694865d17caf77a36
- Size of remote file:
- 4.15 MB
- SHA256:
- f7e1cb38514425d1fc6f4d64b32d2ea3929bd5be5b835fd42fb8d49454316417
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